区域建筑抗震韧性模拟有助于提升城市抗震能力与震后快速恢复能力，具有重要的研究意义。然而目前的模拟方法皆无法较好考虑时间维度上结构劣化、加固与更新对建筑抗震性能的影响，需要提出多时空的模拟方法。因此本项目以RC框架结构为研究对象，针对多时空模拟的计算模型、参数确定方法、韧性评估与结果展示方法等问题，首先提出考虑多规范影响的区域建筑计算模型以及劣化、加固更新模拟方法，从而更为合理地考虑区域建筑抗震能力的时变效应；其次，提出多时空计算模型的参数确定方法。借助于规范以及大量试验和模拟数据，合理可靠地把握劣化、加固与更新对建筑抗震能力的影响；最后，提出多时空的区域建筑抗震韧性评估方法与结果展示方法。模拟区域建筑抗震韧性演变规律，服务不同加固更新策略比选，动态、直观地展现韧性评估结果。本项目的成果将服务于更为合理可靠的区域建筑抗震韧性模拟，实现加固更新策略比选，为抗震防灾规划，政策制定提供有利参考。

Regional building seismic resilience simulation can assist in improving urban seismic resistance and reduce the time to recovery after an earthquake event, which is of great significance. However, current simulation methods cannot well consider the effects of structural deterioration, retrofitting and renewal on the seismic resistance of regional buildings in the time domain and a multiple time-space regional seismic resilience simulation method is required. Therefore, the multiple time-space simulation method, parameter determination method, resilience assessment method and visualization method are studied for RC frame structures. Firstly, the regional building model considering the effects of different design specifications and simulation methods for structural deterioration, retrofitting and renewal are studied, which can more reasonably consider the time dependent effects of regional building seismic resistance; Secondly, the parameter determination method for the multiple time-space simulation is studied. Based on design specifications and experimental and numerical simulation results, the seismic resistance of deteriorated, retrofitted and renewed regional building can be reliably considered; Finally, the multiple time-space regional building seismic resilience assessment method and results visualization method are studied to serve scheme comparison and dynamic results visualization. The outcomes of this project are expected to serve a more reasonable and reliable regional building seismic resilience simulation, which can assist retrofitting and renewal scheme comparison, provide a good reference for urban earthquake disaster prevention planning and decision making.